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Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
CLARA 0.0 metric=euclidean
k=138
samples=20		 Clustering
Self Organizing Maps 0.0 x=73
y=208		 Clustering
Spectral Clustering 0.005 k=8 Clustering
clusterdp 0.0 k=12
dc=3.9355925715054516		 Clustering
HDBSCAN 0.0 minPts=15
k=128		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=164		 Clustering
c-Means 0.0 k=211
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=186 Clustering
DIANA 0.0 metric=euclidean
k=228		 Clustering
DBSCAN 0.0 eps=5.903388857258178
MinPts=240		 Clustering
Hierarchical Clustering 0.0 method=single
k=51		 Clustering
fanny 0.0 k=46
membexp=2.0		 Clustering
k-Means 0.0 k=76
nstart=10		 Clustering
DensityCut 0.0 alpha=0.6547619047619048
K=10		 Clustering
clusterONE 0.464 s=40
d=0.3		 Clustering
Affinity Propagation 0.014 dampfact=0.845
preference=0.0
maxits=5000
convits=500		 Clustering
Markov Clustering 0.464 I=7.38078078078078 Clustering
Transitivity Clustering 0.0 T=13.680025229782464 Clustering
MCODE 0.175 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering